vitrage-specs/specs/rocky/implemented/k8s-datasource.rst
Ifat Afek 47f0c861af Update the state of some Rocky specs
Move Rocky specs from 'approved' to 'implemented': RPC collector, graph fast-failover, k8s datasource

Change-Id: Ic530a6c6bbc5b0e1a12b00b672bce7b5ca67623e
2018-11-13 19:45:06 +02:00

5.3 KiB

kubernetes Datasource Driver - get_all implementation

launchpad blueprint: https://blueprints.launchpad.net/vitrage/+spec/k8s-datasource

This blueprint describes the kubernetes datasource, and its implementation for get_all nodes (VM's).

Problem description

Kubernetes nodes should be added to Vitrage Graph via Vitrage Datasources. This requires writing a Datasource for kubernetes.

The datasource should support get_all: periodic query all kubernetes nodes.

Proposed change

Kubernetes datasource will be configured with:

  • Poll interval in seconds (default: 600)

Every poll-interval seconds, Kubernetes Driver will call kubernetes client to retrieve all nodes. The nodes will be converted to Vitrage datasource events and passed to Vitrage Graph queue.

Example of kubernetes client return call for list_nodes() :

apiVersion: v1
items:
- apiVersion: v1
  kind: Node
  metadata:
    annotations:
      node.alpha.kubernetes.io/ttl: "0"
      volumes.kubernetes.io/controller-managed-attach-detach: "true"
    creationTimestamp: 2017-11-29T07:24:59Z
    labels:
      beta.kubernetes.io/arch: amd64
      beta.kubernetes.io/os: linux
      failure-domain.beta.kubernetes.io/region: regionOne
      failure-domain.beta.kubernetes.io/zone: zone0
      is_control: "true"
      kubernetes.io/hostname: bcmt-control-01
    name: bcmt-control-01
    namespace: ""
    resourceVersion: "10714282"
    selfLink: /api/v1/nodes/bcmt-control-01
    uid: 68011206-d4d6-11e7-9c63-fa163e2e2123
  spec:
    externalID: 41c40aab-80e9-4bb6-a280-27976bfc811f
    providerID: openstack:///41c40aab-80e9-4bb6-a280-27976bfc811f
    taints:
    - effect: NoExecute
      key: is_control
      timeAdded: null
      value: "true"
  status:
    addresses:
    - address: 172.16.1.12
      type: InternalIP
    - address: 10.5.138.49
      type: InternalIP
    - address: bcmt-control-01
      type: Hostname
    allocatable:
      cpu: "2"
      memory: 3779500Ki
      pods: "110"
    capacity:
      cpu: "2"
      memory: 3881900Ki
      pods: "110"
    conditions:
    - lastHeartbeatTime: 2018-02-15T12:08:58Z
      lastTransitionTime: 2018-02-14T13:39:53Z
      message: kubelet has sufficient disk space available
      reason: KubeletHasSufficientDisk
      status: "False"
      type: OutOfDisk
    - lastHeartbeatTime: 2018-02-15T12:08:58Z
      lastTransitionTime: 2018-02-14T13:39:53Z
      message: kubelet has sufficient memory available
      reason: KubeletHasSufficientMemory
      status: "False"
      type: MemoryPressure
    - lastHeartbeatTime: 2018-02-15T12:08:58Z
      lastTransitionTime: 2018-02-14T13:39:53Z
      message: kubelet has no disk pressure
      reason: KubeletHasNoDiskPressure
      status: "False"
      type: DiskPressure
    - lastHeartbeatTime: 2018-02-15T12:08:58Z
      lastTransitionTime: 2018-02-14T13:39:53Z
      message: kubelet is posting ready status
      reason: KubeletReady
      status: "True"
      type: Ready
    daemonEndpoints:
      kubeletEndpoint:
        Port: 10250
    images:
    - names:
      - 172.16.1.4:5000/gcr.io/google-containers/hyperkube-amd64
      - 172.16.1.4:5000/gcr.io/google-containers/hyperkube-amd64:v1.7.4
      sizeBytes: 615424570
    nodeInfo:
      architecture: amd64
      bootID: 883c98a9-17ea-40f9-af7d-a448ad817249
      containerRuntimeVersion: docker://1.12.6
      kernelVersion: 3.10.0-514.21.1.el7.x86_64
      kubeProxyVersion: v1.7.4
      kubeletVersion: v1.7.4
      machineID: 10783ea106f742728fede153a98b035d
      operatingSystem: linux
      osImage: Red Hat Enterprise Linux Server 7.3 (Maipo)
      systemUUID: 41C40AAB-80E9-4BB6-A280-27976BFC811F
Relevant data will be extracted:
  • Creation Timestamp.
  • Name.
  • Addresses (IP's)
  • kubernetes ID (uid)
  • provider
  • providerID

Alternatives

None

Data model impact

New vertices will be added to the entity graph. This might be duplicate vertices. (VM's from Nova and kubernetes). Proposed solution is resource equivalence. (planned for future work)

REST API impact

None

Versioning impact

None

Other end user impact

None

Deployer impact

Kubernetes driver should be configured.(get access to master node)

Developer impact

None

Horizon impact

None

Implementation

Assignee(s)

Primary assignee:

Idan-kinory

Work Items

None

Dependencies

None

Testing

This blueprint requires unit tests.

Documentation Impact

Datasource configuration.

References

Datasource main blueprint: https://blueprints.launchpad.net/vitrage/+spec/k8s-datasource